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非完整阵列接收下的虚拟接收目标定位技术
引用本文:姚美娟,任群言,马力.非完整阵列接收下的虚拟接收目标定位技术[J].声学学报,2018,43(1):23-30.
作者姓名:姚美娟  任群言  马力
作者单位:1. 中国科学院声学研究所 北京 100190;
基金项目:国家自然科学基金项目(11604360)中国科学院声学所“青年英才计划”资助
摘    要:在浅海近似绝热环境中,利用虚拟接收方法对声源测距的目标定位方法相比于传统的匹配场定位方法可以避免对环境参数和声场模型的依赖,同时省去生成拷贝场时的大量计算·利用虚拟接收方法对声源测距主要是通过估计虚拟声场干涉条纹的斜率进行定位,而非完整阵列接收相当于引入了干扰项,破坏了虚拟声场干涉结构。引入了一种基于图像Hessian矩阵特征值分析的多尺度线性滤波器,通过数值模拟和实验数据处理,结果表明,该滤波器可以有效地增强干涉结构、检测和提取干涉图案中的条纹信息,提高非完整阵列接收条件下的虚拟接收目标定位技术的测距性能。 

关 键 词:虚拟接收    多尺度线性滤波器    非完整阵列    目标定位
收稿时间:2016-06-08

Target localization using virtual receiver technique with incomplete receiver array
Affiliation:1. Institute of Acoustics, Chinese Academy of Sciences Beijing 100190;2. Key Laboratory of Underwater Acoustics Environment, Chinese Academy of Sciences Beijing 100190
Abstract:In approximately adiabatic shallow water environment, comparing to traditional Matched Field Processing localization method, target localization using virtual receiver method can reduce dependence on environment parameters and acoustic field model. Also, it can avoid large computation of copy field. Virtual receiver ranging method locates the target by estimating the slope of the interference striations. Incomplete receiver array disturbs the interference structure and degrades the localization performance. A Multi-scale Linear Filter(MLF) based on image Hessian Matrix eigenvalue analysis is introduced. Numerical simulation and trial data processing demonstrate that MLF can be applied in localizing the target source with incomplete receiver array using virtual receiver method as it can effectively strengthen and extract the information in the interference striations. 
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